collaborators

7 papers

cs.CL2026

Probe with Participation Trophies: Random-Reward RL as a Probe of LLM Capability

Yu Mao, Lei Yu, Zining Zhu +6

We connect the spurious-reward paradox to a model's reachability and propose random-reward reinforcement learning (RL) as a useful tool for the probing enterprise, addressing a dec…

cs.AI2026

FinTrace: Holistic Trajectory-Level Evaluation of LLM Tool Calling for Long-Horizon Financial Tasks

Yupeng Cao, Haohang Li, Weijin Liu +11

Recent studies demonstrate that tool-calling capability enables large language models (LLMs) to interact with external environments for long-horizon financial tasks. While existing…

cs.AI2025

Another Turn, Better Output? A Turn-Wise Analysis of Iterative LLM Prompting

Shashidhar Reddy Javaji, Bhavul Gauri, Zining Zhu

Large language models (LLMs) are now used in multi-turn workflows, but we still lack a clear way to measure when iteration helps and when it hurts. We present an evaluation framewo…

cs.LG2025

VERBA: Verbalizing Model Differences Using Large Language Models

Shravan Doda, Shashidhar Reddy Javaji, Zining Zhu

In the current machine learning landscape, we face a "model lake" phenomenon: Given a task, there is a proliferation of trained models with similar performances despite different b…

cs.CL2025

Can AI Validate Science? Benchmarking LLMs for Accurate Scientific Claim Evidence Reasoning

Shashidhar Reddy Javaji, Yupeng Cao, Haohang Li +3

Large language models (LLMs) are increasingly being used for complex research tasks such as literature review, idea generation, and scientific paper analysis, yet their ability to…

cs.CL2025

Truth Neurons

Haohang Li, Yupeng Cao, Yangyang Yu +2

Despite their remarkable success and deployment across diverse workflows, language models sometimes produce untruthful responses. Our limited understanding of how truthfulness is m…

cs.CE2025

FinAudio: A Benchmark for Audio Large Language Models in Financial Applications

Yupeng Cao, Haohang Li, Yangyang Yu +10

Audio Large Language Models (AudioLLMs) have received widespread attention and have significantly improved performance on audio tasks such as conversation, audio understanding, and…